Timothy Reese
I am an Assistant Professor of Practice in the Department of Statistics at Purdue University, where I teach STAT 350 (Introduction to Statistics) and STAT 41800 (Computational Methods in Data Science). My work focuses on building technology-enhanced learning systems for large-enrollment courses, applied machine learning research, and developing computational tools for scientific discovery.
On the teaching side, I have built an integrated browser-first learning ecosystem for STAT 350 that includes an interactive digital textbook, video learning platform, statistical simulations, and LatticeAI — a course-constrained AI assistant deployed on Purdue’s GenAI Studio infrastructure. I designed and launched Purdue’s first STAT 350 Winter session and developed STAT 41800 as an entirely new course with original materials covering simulation, resampling, Bayesian inference, and large language models in data science workflows.
My research spans several areas. I am PI on an NIH/NIA R03 award developing analytical tools that integrate external single-cell and multi-omics datasets with MoTrPAC consortium data, using statistical, machine learning, and AI approaches to uncover molecular mechanisms of physical activity. I also lead a research program applying computer vision, pose estimation, and machine learning to analyze NBA free throw biomechanics. My earlier work focused on efficient and interpretable large-scale multi-class classification algorithms, leveraging class-binarization approaches that reduce decision complexity to logarithmic scale while exploiting dependency structures inherent in large classification problems.
I earned my Ph.D. in Statistics from Purdue University (2022, advised by Michael Yu Zhu), an M.S. in Applied Mathematics from California State University, Northridge (advised by Majid Mojirsheibani), and dual B.S. degrees in Computer Science and Applied Mathematics from CSUN. In addition to teaching standard courses, I along with my colleague Wenbin Zhu provided an accelerated Deep Learning tutorial seminar to the students of Huzhou Teachers College in Huzhou, China.